Tech Lead Manager of Embodied AI, Diligent Robotics
AI-powered robots for patient care teams
Job no longer available
AI-powered robots for patient care teams
101-200 employees
Job no longer available
101-200 employees
Company mission
To make technical advances towards robots and humans working together side by side, with an emphasis on human-centric design.
Role
Who you are
- MS or PhD in Computer Science, Robotics, ML, EE, or related field along with 8+ years of AI/ML experience
- Proven history of delivering multimodal ML systems into production in real-world, safety-sensitive environments (e.g., robotics, autonomous vehicles)
- Strong expertise across perception, path planning, control systems, and model optimization for resource-constrained platforms
- Hands-on technical ability: able to code, train models, debug, and architect systems side-by-side with your team
- Leadership experience in startups or fast-moving R&D environments: you’ve built teams, set direction, and scaled initiatives
- Track record working with foundation or vision-language-action models, physics-based simulation, or embodied-perception pipelines
- Excellent communication: align execs, engineers, and cross-functionally on strategy, trade-offs and results
What the job involves
- As the Tech Lead/Manager, Embodied AI, you’ll lead a mission-critical team: building the AI that lives on the robot
- You’ll own the robotics software stack (core robotics behaviors, and robotics platform, middleware, etc.) and the multimodal end to end models that enable perception, navigation, manipulation and adaptive collaboration
- This is hands-on leadership in a startup setting: you’ll lead, build, mentor, and code as well as ensure the end-to-end system works in the real world
- Lead and grow an embodied-AI team that owns perception, planning, navigation, manipulation, and multimodal ML models, all running on edge platforms
- Define the strategic technical roadmap for the robotics platform and embodied-AI capabilities—from foundational models to real-time onboard inference and control
- Architect and guide development of large multimodal ML models—vision, language, tactile—that drive physical robot behaviors, potentially leveraging foundation model approaches
- Oversee integration between edge AI, firmware, OS, hardware, and cloud services for deployment, monitoring, and continuous improvement
- Provide hands-on leadership: mentor engineers, review code and models, and contribute directly to critical system components
- Ensure AI and robotics systems meet safety, robustness, and regulatory requirements; drive performance metrics like latency, reliability, and interpretability
- Collaborate with cross-functional leaders—product, firmware, backend, customer success—to align AI roadmap with business goals and deployment realities
- Recruit top-tier AI and robotics engineering talent, define team structure, and foster a culture of technical excellence and experimentation
Our take
Healthcare workers do everything they can to provide high-quality care to patients, but the high-pressure work environment can make this difficult. Whilst in-person care is their most important job, different scenarios will require workers to constantly fetch different medical items for patients, increasing job pressure and restricting the time workers have to spend with patients.
Diligent Robotics develops AI-powered robots for patient care teams called Moxi that can fetch, store, and deliver items needed within healthcare facilities. The robots have specialized storage compartments for sensitive medical materials and can safely navigate through elevators, security doors, automatic doors, and other existing infrastructure.
Whilst AI is becoming increasingly prevalent in healthcare, Diligent Robotics has taken a bold step by developing AI-driven robots that reduce the burden of item fetching for healthcare workers. Its Moxi robots now operate in more than 25 hospitals and have completed over 1.5M tasks, showing strong real-world traction. This success was further reinforced by Serve Robotics acquisition of the company, which aims to accelerate Moxi's development and expand the future of AI-powered healthcare support.
Freddie
Company Specialist at Welcome to the Jungle
Insights
70% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2023
$25m
LATE VC
Apr 2022
$30m
SERIES B
Total funding: $70.9m
Company benefits
- Competitive salary and equity based on experience and contribution
- Competitive health plan coverage for individuals and dependents
Company HQ
North Side, Austin, TX
Leadership
Andrea L. Thomaz
(Co-Founder & CEO)Andrea has been an Associate Professor at The University of Texas since 2016. Previously, they were an Assistant then Associate Professor at the Georgia Institute of Technology.
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